AI Portfolio Built Around
Real Business Needs

Challenge: Trends move fast. By the time most teams spot a Telegram trend, brief it, and produce a video, the moment has already passed. Manual research and editing simply can't keep up.

Approach: We built an autonomous agent that watches Telegram around the clock, researches each trend with Perplexity, writes a creative video brief, and generates the finished clip through Wavespeed — with no human in the loop.

Outcome: Trend-ready videos land in minutes, not days — fresher content, faster cycles, and engagement that catches the wave while it's still rising.

Challenge: Brands need a steady drumbeat of content, research, and campaigns. Hiring for it is slow and expensive; piling it onto the existing team just burns them out.

Approach: We deployed a CMO-level agent that delegates to specialist sub-agents — copywriter, SEO writer, email marketer, and ads writer — each running on the model that does its job best. You brief it in Slack; it runs the campaign.

Outcome: Campaigns ship faster, quality stays on-brand, and output scales on demand — without a single new hire.

Challenge: Teams were drowning in tools — one for tasks, another for email, another for content, another for research. Context kept falling through the gaps.

Approach: We built a single assistant that takes voice or text on Telegram and email from Gmail, understands intent, remembers context, and acts — drafting emails, posting to Slack, booking calendar events, and researching on the fly.

Outcome: The whole day runs through one chat. Less switching, less busywork, more shipped — with an assistant that actually remembers what you told it.

Challenge: Tracking competitors by hand is slow, patchy, and outdated the moment you finish. Teams were guessing where they should have been knowing.

Approach: We built an agent that scrapes competitor sites, social, and ad libraries every few hours, scores engagement, detects what's working, stores it in Airtable, and drops a clear intelligence report straight into Slack.

Outcome: Real-time, decision-ready intel — so your team reacts to competitor moves in hours, not weeks, and always plays a step ahead.

Challenge: Daily TikTok output is brutal: ideas, scripts, clips, audio, editing, posting. Most creators and brands simply can't sustain the grind.

Approach: We built a fully autonomous engine that generates daily concepts, produces clips with synced audio via Wavespeed and Fal AI, stitches the final video, and auto-publishes everywhere through Blotato.

Outcome: A hands-free content machine pumping out daily videos across every platform — compounding reach, consistency, and growth while you sleep.

Challenge: By the time a trend is obvious, it's already saturated. Creators wanted to ride waves early but had no time to research, produce, and publish fast enough.

Approach: We built an agent that scans TikTok in real time, stores viral patterns in a Pinecone memory, and uses them to create, edit, and publish optimized videos — informed by what's actually taking off right now.

Outcome: You ride momentum early and often — more reach, faster audience growth, and a content engine that keeps learning what goes viral.